Artificial Intelligence to Differentiate Pediatric Pseudopapilledema and True Papilledema on Fundus Photographs

Artificial Intelligence to Differentiate Pediatric Pseudopapilledema and True Papilledema on Fundus Photographs

Purpose: To develop and test an artificial intelligence (AI) model to aid in differentiating pediatric pseudopapilledema from true papilledema on fundus photographs. Design: Multicenter retrospective study. Subjects: A total of 851 fundus photographs from 235 children (age < 18 years) with pseudo...

Full description

Bibliographic Details
Main Authors: Melinda Y. Chang, MD, Gena Heidary, MD, PhD, Shannon Beres, MD, Stacy L. Pineles, MD, Eric D. Gaier, MD, PhD, Ryan Gise, MD, Mark Reid, PhD, Kleanthis Avramidis, MEng, Mohammad Rostami, PhD, Shrikanth Narayanan, PhD
Format: Article
Language:English
Published: Elsevier 2024-07-01
Series:Ophthalmology Science
Subjects:
artificial intelligence
fundus photographs
papilledema
pediatric
pseudopapilledema
Online Access:http://www.sciencedirect.com/science/article/pii/S2666914524000320

Internet

http://www.sciencedirect.com/science/article/pii/S2666914524000320

Similar Items